Title :
The novel falling detection method with G-sensors on waist
Author :
Shih-Chang Huang ; Li-Chang Chen ; Hsuan-Chia Chang ; Hong-Yi Chang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
Abstract :
Accidental falling is one of the health hazards for seniors. A well falling detection mechanism can help the caregivers to save the elders in time. Falling detection technique becomes a critical factor to improve the quality of home care. Generally, the acceleration of a human´s waist is smooth. Only the unstable state will generate acute acceleration. Therefore, in this paper, we installed the G-sensor on waist. We used the returned values of two installed G-sensors and the slopes of their signal measure vector to detect whether the tested man is falling or not in the sitting on the chair and standing cases. Our experimental results show that the falling can be detected when the slope of the signal measure vector rises steeply.
Keywords :
assisted living; handicapped aids; health hazards; medical signal detection; G-sensors; accidental falling; caregivers; elders; falling detection mechanism; gravitational sensor; health hazards; home care; human waist acceleration; seniors; signal measure vector slope; Acceleration; Accelerometers; Educational institutions; Electronic mail; Legged locomotion; Testing; Vectors; Falling Detection; Sitting; Standing; Waist G-sensor;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2014.6904075